nformation on recent diversity and biogeography of Arctic marine protists with adequate temporal and spatial resolution is urgently needed to better understand consequences of environmental change for marine ecosystems. Here, we introduce a molecular-based observation strategy for high resolution assessment of marine protists in space and time, even in remote areas such as the Arctic Ocean. The observation strategy involves molecular analyses (e.g. Next Generation Sequencing (NGS) or quantitative PCR) of samples, collected with a set of complementary methods such as a newly developed automated under-way sampling device, CTD-casts and moored sediment traps. This integrated approach allows generating detailed information on marine protist community composition or abundance with adequate resolution. Currently, the observation strategy is organized at four major levels. At level 1, samples are collected at high spatial and temporal resolution based on under-way sampling with the remote-controlled automated filtration system AUTOFIM (developed in the COSYNA-project), and sampling at fixed stations based on CTD-casts and moored sediment traps. Resulting samples can either be preserved for later laboratory analyses, or directly subjected to molecular surveillance of key species aboard the ship, e.g. via quantitative polymerase chain reaction (level 2). Preserved samples are analyzed at the next observational levels in the laboratory (level 3 and 4). This involves at level 3 molecular fingerprinting methods for a quick and reliable overview of differences in protist community composition. Finally, selected samples can be used to generate a detailed analysis of taxonomic protist composition via the latest Next Generation Sequencing Technology (NGS) at level 4. An overall integrated dataset of all results provides comprehensive information on the diversity and biogeography of protists, including all related size classes. In the future, the observation strategy for Arctic marine protists will be part of the Molecular Microbial Observatory envisioned for the Arctic observatory FRAM (Frontiers in Arctic Monitoring).